Regarding the fine-tuning da approach, we considered as training sets those proposed by the authors of [1]}, [2]}, and we obtained the evaluation of our results over the test sets by submitting them to the Mot Challenge website. For the mixed-batch da solution, during the training phase, we injected in the same batch \(2/3\)  of synthetic images from the viped dataset and \(1/3\)  of real-world images from the training subsets of the MOTDet17 or the MOT19Det dataset. Again, we validated our results by submitting them to the MOT Challenge website.
